CN112540030A - System and method for monitoring and calculating atmospheric diffusion law based on optical remote sensing - Google Patents
System and method for monitoring and calculating atmospheric diffusion law based on optical remote sensing Download PDFInfo
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Abstract
The invention provides a system and a method for calculating an atmospheric diffusion rule based on optical remote sensing monitoring, and belongs to the technical field of atmospheric diffusion monitoring. The method comprises the following steps: selecting a tracer, and selecting a collection device matched with the tracer; selecting an atmospheric diffusion model, then constructing a release source of the tracer, determining the distribution characteristics of the acquisition device according to the release source, and then configuring the atmospheric diffusion model by using the release source and the acquisition device; releasing the tracer into an atmospheric environment through the release source and acquiring data corresponding to the tracer distributed within the atmospheric environment with the acquisition device; and according to an atmospheric stability classification method, obtaining atmospheric diffusion parameters by combining the data with the atmospheric diffusion model. The invention has the characteristic of low implementation cost, increases the accuracy and stability of monitoring data and reduces the uncertainty of fixed-point monitoring.
Description
Technical Field
The invention relates to the technical field of atmospheric diffusion monitoring, in particular to a method for acquiring atmospheric diffusion parameters, a system for acquiring atmospheric diffusion parameters, equipment for acquiring atmospheric diffusion parameters and a computer-readable storage medium.
Background
Along with the development of economy, the speed of urbanization progress has produced a large amount of buildings around the petrochemical enterprise, very big increase the roughness on ground, strengthened ground torrent, changed original atmospheric diffusion situation. The diffusion rule of the pollutants in the atmosphere is influenced by various factors such as leakage sources, meteorological conditions, ground conditions, the properties of the pollutants and the like; the research on the atmospheric pollutant diffusion rule under the complex terrain has important significance for guiding the construction of petrochemical enterprises, determining the sanitary protection distance of the petrochemical enterprises, taking appropriate emergency measures under normal working conditions and accident working conditions, controlling the atmospheric pollutant discharge amount of the petrochemical enterprises, protecting the surrounding public and the like.
At present, three main research methods for researching the diffusion rule of the atmospheric pollutants are available: an actual measurement method, a wind tunnel experiment method and a numerical simulation method.
The actual measurement method has certain limitations, limits the development of the actual measurement method, needs a large amount of measurement equipment, is high in expenditure, manpower, material resources and financial resources, complex in sampling and analyzing process, long in experiment period and the like, but can directly acquire accurate information of a flow field or a concentration field, truly and objectively reflect an actual scene of diffusion of atmospheric pollutants, and lays a solid theoretical foundation and a scientific basis for further researching surface flow field characteristics and atmospheric pollutant diffusion rules and establishing a research region numerical model.
Compared with an actual measurement method, the wind tunnel simulation has the advantages of intuition and saving of manpower, material resources and financial resources, and experimental conditions can be artificially controlled according to actual conditions in the experimental process, so that the method has greater superiority no matter under the condition of complicated terrain or mechanistic research. However, wind tunnel simulation experiments still need more capital support, and the assumed conditions of the experiments are more, so that when the model is smaller, the similar parameters are difficult to realize the equality, and the technical difficulty exists in the aspect of realizing the quantification.
The numerical simulation method has low cost, can accurately estimate the distribution condition of the gas pollutants by only simulating on a computer even under the condition of lacking monitoring data, but has large data and calculation intensity, complex construction of a model and boundary conditions and high randomness, and influences the accuracy and precision of results.
In summary, the three research methods are good and bad respectively, and the actual measurement method is not dominant in the three research methods, but the actual measurement method can obtain accurate and reliable flow field data, can reflect the migration process and diffusion rule of pollutants most truly, and obtain the first hand field data of atmospheric pollutant diffusion, so that valuable experimental data are provided for theoretical research, and meanwhile, the data are very necessary for wind tunnel experiments and numerical simulation, and in complex terrains, due to the complex underlying surface condition and meteorological conditions and the frequent requirement of actual work of the complex terrains, the actual measurement method must be adopted to research the atmospheric diffusion rule.
With the progress of science and technology, the development of environmental monitoring technology, the wide application of instrument analysis and computer technology, the technical workers in various countries widely apply the remote sensing technology to the atmospheric environment automatic monitoring system. In recent years, with the progress of modern physics, optics, chemical research, electronics, space science and computer technology, various environment monitoring technologies make rapid progress, and the optical remote sensing technology stands out from the progress, and because the optical remote sensing technology has the characteristics of spatiality, instantaneity, wide monitoring range, large information acquisition amount, short detection period, convenient operation and the like, the method provides possibility for monitoring the concentration distribution condition of a large-range gas pollutant in real time, is widely applied to environment monitoring, can comprehensively and accurately diagnose the range and degree of environmental pollution, and provides a new means for the environment monitoring technology. With the improvement of urbanization level, the vigorous development of enterprises and the aggravation of environmental problems, the optical remote sensing technology has become an indispensable monitoring means.
The optical remote sensing technologies most widely used at present are mainly classified into the following four categories: differential absorption lidar technology (DIAL), ultraviolet-differential optical absorption spectroscopy (UV-DOAS), open optical path Tunable Diode Laser Absorption Spectroscopy (TDLAS), open optical path Fourier transform infrared spectroscopy (OP-FTIR). The choice of different optical remote sensing technologies requires consideration of the chemicals under study as well as the purpose of the study.
Disclosure of Invention
The invention aims to provide a system and a method for calculating an atmospheric diffusion rule based on optical remote sensing monitoring, which solve the problems that the atmospheric diffusion rule in a complex area is difficult to determine, the setting of a sampling point in an actual measurement method and the formation of stable sampling data are high in cost and the like.
In order to achieve the above object, an embodiment of the present invention provides a method for obtaining an atmospheric diffusion parameter, where the method includes:
s1) selecting a tracer, and selecting a collection device matched with the tracer;
s2) selecting an atmospheric diffusion model, then constructing a release source of the tracer, determining the distribution characteristics of the acquisition device according to the release source, and then configuring the atmospheric diffusion model by using the release source and the acquisition device;
s3) releasing the tracer agent in the atmosphere environment through the release source, and acquiring data corresponding to the tracer agent distributed in the atmosphere environment by using the acquisition device;
s4) obtaining atmospheric diffusion parameters by combining the data with the atmospheric diffusion model according to an atmospheric stability classification method.
Specifically, the tracer is selected in step S1), and includes: selecting a tracer according to the diffusion requirement; wherein the content of the first and second substances,
the diffusion requirements include: the method comprises the steps of obtaining a target atmospheric environment temperature, obtaining a target atmospheric environment background value of a selected tracer, obtaining a target atmospheric environment background value of the selected tracer, obtaining a target.
Specifically, step S1), wherein the diffusion requirement further includes: the scattering properties of said selected tracer are stronger than the requirements for the scattering properties of said target atmospheric environment with respect to said acquisition means.
Specifically, the step S1) of selecting the acquisition device matched with the tracer includes: and selecting an optical remote sensing monitoring instrument matched with the tracer.
Specifically, the step S2) selects an atmospheric diffusion model, and then constructs a release source of the tracer, including:
selecting an atmospheric diffusion model, then determining a release source type according to the atmospheric diffusion model, and constructing a release source of the tracer according to the release source type, wherein the release source type comprises: a point source class, a line source class, a surface source class, or a body source class.
Specifically, the step S3) of releasing the tracer into the atmosphere through the release source includes:
and continuously releasing the tracer agent into the atmosphere environment through the release source in a constant flow mode within preset period time, wherein each period time is more than or equal to two hours.
Specifically, the acquiring, by the acquiring device, data corresponding to tracers distributed in the atmospheric environment in step S3) includes:
when the distribution characteristics of the tracers in the atmospheric environment accord with preset distribution conditions, according to the monitoring light path of the acquisition device and the included angle of the main wind direction of the atmospheric environment is ninety degrees or in a ninety-degree neighborhood mode, the acquisition device is utilized to acquire downwind light path integral concentration data corresponding to the tracers distributed in the atmospheric environment.
Specifically, step S3) further includes: an environment data set and a device data set are acquired, wherein,
the environmental dataset includes: wind direction data, wind speed data, and cloud cover data, the device dataset comprising: the distance data of the monitoring light path from the release source to the acquisition device, the light path length of the acquisition device and the size of the release source;
and acquiring data corresponding to tracers distributed in the atmospheric environment by using the acquisition device, wherein the data is light path integral concentration data.
Specifically, before the step S4) of obtaining the atmospheric diffusion parameter by combining the atmospheric diffusion model, the method further includes: and configuring the atmospheric diffusion model by using a genetic algorithm or a least square method.
The embodiment of the invention also provides a system for acquiring the atmospheric diffusion parameter, which comprises:
a release source configured to have a function of releasing the tracer;
an acquisition device configured to have an acquisition data function, wherein the acquisition data function is configured to acquire data of a tracer released by the release source within an atmospheric environment;
the measurement and control system is configured to have a data calculation function, wherein the data calculation function is configured to be used for calculating and obtaining the atmospheric diffusion parameter according to the data acquired by the acquisition device.
In another aspect, an embodiment of the present invention provides an apparatus for acquiring an atmospheric diffusion parameter, including:
at least one processor;
a memory coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the at least one processor implements the aforementioned method by executing the instructions stored by the memory.
In yet another aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions, which, when executed on a computer, cause the computer to perform the foregoing method.
The invention replaces the traditional fixed-point monitoring technology with the optical remote sensing monitoring technology, gets rid of the constraint of the traditional fixed-point sampling analysis technology, reduces the uncertainty of fixed-point monitoring, has the characteristics of low implementation cost, increases the accuracy and stability of monitoring data, greatly overcomes the defect of determining the atmospheric diffusion rule by the traditional real measurement method, and solves the problems of large consumption of manpower, material resources and financial resources, complex sampling analysis process, time and labor consumption, long experimental period, low data acquisition stability and the like when the atmospheric diffusion rule is determined by the traditional real measurement method.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
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The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a schematic diagram of the main steps of the embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Example 1
A method of obtaining atmospheric diffusion parameters, the method comprising:
s1) selecting a tracer, and selecting a collection device matched with the tracer;
s2) selecting an atmospheric diffusion model, then constructing a release source of the tracer, determining the distribution characteristics of the acquisition device according to the release source, and then configuring the atmospheric diffusion model by using the release source and the acquisition device;
s3) releasing the tracer agent in the atmosphere environment through the release source, and acquiring data corresponding to the tracer agent distributed in the atmosphere environment by using the acquisition device;
s4) obtaining atmospheric diffusion parameters by combining the data with the atmospheric diffusion model according to an atmospheric stability classification method;
the atmospheric stability classification method can be eleven main atmospheric stability classification methods such as a Pasquill method, a Pasquill-Turner method, a P & S method, a temperature gradient-wind speed method, a Richardson number method, a total Richardson number, a wind direction pulsation standard deviation method, a Moning-Obtuff length method and the like, and the P & S atmospheric stability classification method is preferred in consideration of an acquisition device using an optical remote sensing monitoring technology.
Specifically, the tracer is selected in step S1), and includes: selecting a tracer according to the diffusion requirement; wherein the content of the first and second substances,
the diffusion requirements include: the method comprises the following steps that when the concentration of a selected tracer is higher than a preset test concentration threshold, the selected tracer is harmless to a human body and has no odor, the selected tracer is in a gaseous state at the temperature of a target atmospheric environment, the molecular mass of the selected tracer is lower than a preset molecular mass threshold, the diffusion coefficient of the selected tracer meets the requirement of a preset diffusion threshold condition, the background value of the target atmospheric environment of the selected tracer is lower than a preset background value threshold, and the chemical reaction activity degree of the selected tracer is stable relative to the target atmospheric environment;
the selected tracer is nontoxic and odorless even if the concentration of the selected tracer is high, is gaseous at ambient temperature, has small molecular mass, can be quickly mixed with air, has low background value of the environment, has stable chemical properties, is not easy to have chemical reaction with other substances in the environment, is a chemical reagent easy to release and sample, and can be used as the selected tracer after meeting the requirements;
the effect of the atmospheric diffusion tracer experiment is inseparable from the selection of the tracer; a common tracer is SF6、C2H4Etc. wherein SF6Is a tracer which is widely applied at home and abroad at present, almost has all the advantages of an ideal tracer, and besides, SF6The tracer also has the excellent characteristics of low price, high detection sensitivity, difficult water solubility and sedimentation, full representation of atmospheric motion conditions, objective reflection of turbulent diffusion rules and the like, and has the advantages in the remote diffusion research, and the tracing distance can reach 100 Km; c2H4The compound also can be used as an excellent tracer due to the advantages of low price, easy obtaining, low environmental background value and convenient gas chromatography collection; in the present invention, C is preferred2H4As a tracer.
Specifically, step S1), wherein the diffusion requirement further includes: a requirement that the scattering properties of said selected tracer with respect to said collection means is stronger than the scattering properties of said target atmospheric environment;
specifically, the step S1) of selecting the acquisition device matched with the tracer includes: selecting an optical remote sensing monitoring instrument matched with the tracer;
the determination of the optical remote sensing monitoring instrument refers to determining a proper optical remote sensing monitoring instrument according to the selected tracer;
the optical remote sensing technologies most widely used at present are mainly classified into the following four categories: differential absorption lidar technology (DIAL), ultraviolet-differential optical absorption spectroscopy (UV-differential optical absorption spectroscopy), open optical path Tunable Diode Laser Absorption Spectroscopy (TDLAS), open optical path Fourier transform infrared spectroscopy (OP-FTIR). Due to the selected tracer C2H4The capability of absorbing and releasing characteristic spectrum in an infrared band is realized, so that compared with a passive remote sensing Fourier transform infrared spectrometer, the active remote sensing Fourier transform infrared spectrometer is selected in the scheme, is less influenced by the environment and has higher accuracyDegree and accuracy.
Specifically, the step S2) selects an atmospheric diffusion model, and then constructs a release source of the tracer, including:
selecting an atmospheric diffusion model, then determining a release source type according to the atmospheric diffusion model, and constructing a release source of the tracer according to the release source type, wherein the release source type comprises: a point source class, a line source class, a surface source class or a source class;
the selection of the atmospheric diffusion model needs to be consistent with the characteristics of an experimental site, the vicinity of a tank area of a petrochemical enterprise is taken as an example, in order to research the atmospheric diffusion rule of the vicinity of the plant site of the petrochemical enterprise and better simulate the diffusion condition of atmospheric pollutants discharged from the tank area, a rectangular field with a certain height needs to be built, polyvinyl chloride pipes with the same diameter are connected into a grid shape, micro holes are punched according to the same interval, the consistency of the hole diameter is ensured as much as possible, the atmospheric diffusion model is connected with a tracer gas steel cylinder (serving as a release source) with a rotor flow meter at an inlet section, and the corresponding atmospheric diffusion model can select a suitable model suitable for a short-distance virtual point source post-placement method and the like.
Specifically, the step S3) of releasing the tracer into the atmosphere through the release source includes:
and continuously releasing the tracer agent into the atmosphere environment through the release source in a constant flow mode within preset period time, wherein each period time is more than or equal to two hours.
Specifically, the acquiring, by the acquiring device, data corresponding to tracers distributed in the atmospheric environment in step S3) includes:
when the distribution characteristics of the tracers in the atmospheric environment meet preset distribution conditions, acquiring the integrated concentration data of a downwind light path corresponding to the tracers distributed in the atmospheric environment by using the acquisition device according to the mode that the included angle between the monitoring light path of the acquisition device and the main wind direction of the atmospheric environment is ninety degrees or is in a ninety-degree neighborhood;
namely, the data acquisition of the integrated concentration of the downwind light path is required to be carried out after the tracer gas is completely diffused, and the monitoring light path is ensured to be approximately vertical to the main wind direction;
specifically, step S3) further includes: an environment data set and a device data set are acquired, wherein,
the environmental dataset includes: wind direction data, wind speed data, and cloud cover data, the device dataset comprising: the distance data of the monitoring light path from the release source to the acquisition device, the light path length of the acquisition device and the size of the release source;
acquiring data corresponding to tracers distributed in the atmospheric environment by using the acquisition device, wherein the data is light path integral concentration data;
data characteristics in aspects of wind direction, wind speed, cloud amount, monitoring distance (vertical distance from a tracing release source to a monitoring light path), light path integral concentration, light path length, simulated release source size (length, width, high and the like) and the like are considered;
determining the main wind direction: before the field test is carried out, meteorological observation is firstly carried out to determine the main wind direction; the method comprises the steps of taking the center of a tracer release area as an original point, arranging a meteorological station at a position 10 meters away from the ground near the original point, arranging an active remote sensing Fourier transform infrared spectrometer in the downwind direction of a main wind direction, wherein a light beam path is perpendicular to the main wind direction as much as possible, arranging more light beams at a close distance according to the principle of close closeness and remote looseness, determining the specific monitoring distance, the optical path length and the like according to meteorological conditions, ground conditions and the like, releasing tracer gas at a constant flow rate, releasing gas for at least two hours each time, and collecting experimental data after half an hour or complete gas diffusion, wherein the collected data mainly comprises weather, cloud amount, wind direction, wind speed, monitoring distance, optical path length, release source size (long, wide, high and the like) and optical path integral concentration.
Specifically, before the step S4) of obtaining the atmospheric diffusion parameter by combining the atmospheric diffusion model, the method further includes: configuring the atmospheric diffusion model by using a genetic algorithm or a least square method;
the genetic algorithm can be used for optimally configuring an inversion iterative calculation process of the atmospheric diffusion model, and the least square method can be used for configuring a solving mode of the atmospheric diffusion model as a linear regression mode;
calculating atmospheric diffusion parameters to be obtained, substituting the data into the selected atmospheric diffusion model calculation formula, and calculating an unknown solution (atmospheric diffusion parameters) by using an optimization algorithm;
the center of a tracer release area is used as an origin, the dominant wind direction is used as an X axis, the perpendicular wind direction of the dominant wind direction is used as a Y axis, the direction perpendicular to the ground is used as a Z axis, a rectangular coordinate system is established according to a right-hand rule, the acquired data are substituted into a selected atmosphere diffusion model calculation formula every time, and an unknown solution (atmosphere diffusion parameter) can be calculated by using a common optimization algorithm such as a genetic algorithm, a least square method and the like by means of MATLAB software.
The embodiment of the invention also provides a system for acquiring the atmospheric diffusion parameter, which comprises:
a release source configured to have a function of releasing the tracer;
an acquisition device configured to have an acquisition data function, wherein the acquisition data function is configured to acquire data of a tracer released by the release source within an atmospheric environment;
the measurement and control system is configured to have a data calculation function, wherein the data calculation function is configured to be used for calculating and obtaining atmospheric diffusion parameters according to the data acquired by the acquisition device;
the release source is arranged in the diffusion measurement area, and the distribution characteristics of the acquisition device at least need to meet the condition of acquiring the tracer agent distributed in the diffusion measurement area;
the measurement and control system is provided with a configured atmospheric diffusion model, release source parameters, acquisition device parameters and environment parameters related to a diffusion measurement area, selectively controls a release source to release a tracer periodically, starts an acquisition device to acquire data, and substitutes the acquired data into the atmospheric diffusion model to calculate the atmospheric diffusion parameters.
Aiming at the problem that the atmospheric diffusion law in the complex area is difficult to determine, the optical remote sensing monitoring technology is used for replacing the traditional fixed-point monitoring technology on the basis of the traditional real measurement method, the application and development of the optical remote sensing monitoring technology are realized, the traditional real measurement method is upgraded, and the problem that the atmospheric diffusion law in the complex area is difficult to determine is solved.
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solutions of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications all belong to the protection scope of the embodiments of the present invention.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention do not describe every possible combination.
Those skilled in the art will understand that all or part of the steps in the method according to the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In addition, any combination of various different implementation manners of the embodiments of the present invention is also possible, and the embodiments of the present invention should be considered as disclosed in the embodiments of the present invention as long as the combination does not depart from the spirit of the embodiments of the present invention.
Claims (12)
1. A method of obtaining atmospheric diffusion parameters, the method comprising:
s1) selecting a tracer, and selecting a collection device matched with the tracer;
s2) selecting an atmospheric diffusion model, then constructing a release source of the tracer, determining the distribution characteristics of the acquisition device according to the release source, and then configuring the atmospheric diffusion model by using the release source and the acquisition device;
s3) releasing the tracer agent in the atmosphere environment through the release source, and acquiring data corresponding to the tracer agent distributed in the atmosphere environment by using the acquisition device;
s4) obtaining atmospheric diffusion parameters by combining the data with the atmospheric diffusion model according to an atmospheric stability classification method.
2. The method for obtaining atmospheric diffusion parameters according to claim 1, wherein the tracer is selected in step S1), and comprises: selecting a tracer according to the diffusion requirement; wherein the content of the first and second substances,
the diffusion requirements include: the method comprises the steps of obtaining a target atmospheric environment temperature, obtaining a target atmospheric environment background value of a selected tracer, obtaining a target atmospheric environment background value of the selected tracer, obtaining a target.
3. The method for obtaining atmospheric diffusion parameters according to claim 2, wherein step S1), wherein the diffusion requirement further comprises: the scattering properties of said selected tracer are stronger than the requirements for the scattering properties of said target atmospheric environment with respect to said acquisition means.
4. The method for obtaining atmospheric diffusion parameters according to claim 1 or 3, wherein the step S1) of selecting the acquisition device matched with the tracer agent comprises: and selecting an optical remote sensing monitoring instrument matched with the tracer.
5. The method for obtaining atmospheric diffusion parameters according to claim 1, wherein the step of S2) selecting an atmospheric diffusion model and then constructing the release source of the tracer comprises:
selecting an atmospheric diffusion model, then determining a release source type according to the atmospheric diffusion model, and constructing a release source of the tracer according to the release source type, wherein the release source type comprises: a point source class, a line source class, a surface source class, or a body source class.
6. The method for obtaining atmospheric diffusion parameters according to claim 1, wherein the step S3) of releasing the tracer into the atmospheric environment through the release source comprises:
and continuously releasing the tracer agent into the atmosphere environment through the release source in a constant flow mode within preset period time, wherein each period time is more than or equal to two hours.
7. The method for obtaining atmospheric diffusion parameters according to claim 4, wherein the step S3) of obtaining data corresponding to the tracer distributed in the atmospheric environment by using the collecting device comprises:
when the distribution characteristics of the tracers in the atmospheric environment accord with preset distribution conditions, according to the monitoring light path of the acquisition device and the included angle of the main wind direction of the atmospheric environment is ninety degrees or in a ninety-degree neighborhood mode, the acquisition device is utilized to acquire downwind light path integral concentration data corresponding to the tracers distributed in the atmospheric environment.
8. The method for obtaining atmospheric diffusion parameters according to claim 4, wherein the step S3) further comprises: an environment data set and a device data set are acquired, wherein,
the environmental dataset includes: wind direction data, wind speed data, and cloud cover data, the device dataset comprising: the distance data of the monitoring light path from the release source to the acquisition device, the light path length of the acquisition device and the size of the release source;
and acquiring data corresponding to tracers distributed in the atmospheric environment by using the acquisition device, wherein the data is light path integral concentration data.
9. The method for obtaining atmospheric diffusion parameters according to claim 1, wherein the step S4) further comprises, before obtaining atmospheric diffusion parameters by combining the atmospheric diffusion model: and configuring the atmospheric diffusion model by using a genetic algorithm or a least square method.
10. A system for obtaining atmospheric diffusion parameters, the system comprising:
a release source configured to have a function of releasing the tracer;
an acquisition device configured to have an acquisition data function, wherein the acquisition data function is configured to acquire data of a tracer released by the release source within an atmospheric environment;
the measurement and control system is configured to have a data calculation function, wherein the data calculation function is configured to be used for calculating and obtaining the atmospheric diffusion parameter according to the data acquired by the acquisition device.
11. An apparatus for obtaining atmospheric diffusion parameters, comprising:
at least one processor;
a memory coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the at least one processor implementing the method of any one of claims 1 to 9 by executing the instructions stored by the memory.
12. A computer readable storage medium storing computer instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 9.
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| CN117036962A (en) * | 2023-10-08 | 2023-11-10 | 中国科学院空天信息创新研究院 | Remote sensing image change detection method, device, equipment and storage medium |
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| CN108760580A (en) * | 2018-05-21 | 2018-11-06 | 众安仕（北京）科技有限公司 | A kind of the gas diffusion hypothetical system and method for dynamic environment monitoring |
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| CN108760580A (en) * | 2018-05-21 | 2018-11-06 | 众安仕（北京）科技有限公司 | A kind of the gas diffusion hypothetical system and method for dynamic environment monitoring |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117036962A (en) * | 2023-10-08 | 2023-11-10 | 中国科学院空天信息创新研究院 | Remote sensing image change detection method, device, equipment and storage medium |
| CN117036962B (en) * | 2023-10-08 | 2024-02-06 | 中国科学院空天信息创新研究院 | Remote sensing image change detection method, device, equipment and storage medium |
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